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allows us to use jackknifing to reduce the bias of the point estimator. Asymptotically valid confidence intervals for f …
Persistent link: https://www.econbiz.de/10009198064
A certain spectrum, indexed by a\in[0,\infty], of upper bounds P_a(X;x) on the tail probability P(X\geq x), with P_0(X;x)=P(X\geq x) and P_\infty(X;x) being the best possible exponential upper bound on P(X\geq x), is shown to be stable and monotonic in a, x, and X, where x is a real number and X...
Persistent link: https://www.econbiz.de/10011107455
Persistent link: https://www.econbiz.de/10005616257
Though there is a huge variety of different Tchebycheff-type inequalities in the literature a systematized structuring is missing. The few existing surveys remain rather enumerative. Therefore in this paper a structuring of Tchebycheff-type inequalities is suggested which is based on three...
Persistent link: https://www.econbiz.de/10008596540
The paper characterizes the class of weakly decomposable (aggregable) inequality measures which satisfy a new (weak) decomposition (and agregation) property. These measures can be decomposed into the sum of the usual within-group and a between-group term which is based on the inequality between...
Persistent link: https://www.econbiz.de/10010663609
The asymptotics of large deviation probabilities for two-sample non degenerate von Mises functionals and U- statistics of arbitrary degree is investigated. We find explicitly the main term of this asymptotics. Some examples motivated by nonparametric statistics are given. The result may be...
Persistent link: https://www.econbiz.de/10005427057
Persistent link: https://www.econbiz.de/10005376281
In this paper, we focus on and examine the empirical evidence of non- linearity in aggregate Canadian unemployment. Contrary to the conclusion reached in Murray et al. (1993), and using a corrected for bias simple non-parametric test (SNT), we reject the null hypothesis of a linear structure for...
Persistent link: https://www.econbiz.de/10005412624
We consider testing regression coefficients in high dimensional generalized linear models. By modifying a test statistic proposed by Goeman et al. (2011) for large but fixed dimensional settings, we propose a new test which is applicable for diverging dimension and is robust for a wide range of...
Persistent link: https://www.econbiz.de/10011109226
It is well known that the F-test breaks down completely when the dimension of covariates exceeds the sample size. This paper proposes a new test for part of regression coefficients in high dimensional linear models. Under the high dimensional null hypothesis and various scenarios of the...
Persistent link: https://www.econbiz.de/10011263465